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Book a demoPeople are what make engaging products, not tech. Technology helps, but how you set up your teams and processes is what turns slow progress to fast.
A version of this article first appeared on the International News Media Association's (INMA) Content Strategies blog.
Studying recent audience engagement figures for the UK’s top news sites and apps, I was unsurprised to see that the top three for hours spent on average in the app, per user, are all publishers we work with.
We're lucky to work with a number of publishers on the list, compiled by industry title Press Gazette, which reported that the Daily Mail and The Times have the most engaged app users of any news brands in the UK, using Ipsos data.
It reveals numbers which are a thundering lesson in finding what makes people stick around; the Mail+ app tops the table with users spending each on average a tectonic 12.6 hours per month in the app, with The Times app readers in second spot with an equally aeonic 9 hours per month per user, and the Daily Mail app 6.5 hours.
Head to Press Gazette for the full 50, and lots of other interesting stats and facts about media consumption.
| News App | Total Mins (millions) |
Per reader hrs/month |
|---|---|---|
| Mail+ |
167.8m |
12.63hr |
| The Times / The Sunday Times |
392.2m |
8.99hr |
| Daily Mail |
551.7m |
6.53hr |
| The NYT Crossword |
299.4m |
6.3hr |
| The Telegraph UK |
394.7m |
6hr |
| AOL (News, Mail & Video) |
359m |
5.7hr |
| The Guardian |
424.5m |
3.15hr |
| i Paper |
28.5m |
2.8hr |
| Readly |
43.2m |
2.15hr |
| Mirror |
22.3m |
1.9hr |
The full list of the Top 50 is split and ranked in multiple interesting ways and shows starkly the competition for attention media brands face, and how engagement swings wildly across similar apps by rates which defy comparable brand circulation or traffic stats metrics.
It also highlights that amid the race to unlock features such as AI inside products in ways that audiences might actually like, "old favourites” like puzzles are still fantastic at keeping people onboard: puzzles is a major feature in the Mail+ app, and the NYT Crossword app weighs in at No.4 overall for UK user engagement.
So how do they do it?
We've written many times before on why publishers are fighting to improve their attention metric and how others view it, but often the overriding impressions I take from events by industry bodies such as INMA is how smash hit products loved by users are rarely reliant on technology, and instead use tech simply to aid other more critical factors, which is how they are conceived and iterated.
So what have we seen, in working with brands like the above and lots of others just as impressive in their own space? Whether they use our tech or not I feel we get to be unique observers to how success comes about – always of interest to me as a former editorial bloke who looked at how to make readers stick around.
Beyond delivering news, successful product teams look for ways to wrap an array of other content and experiences around the headlines, including longer more in-depth features, entertainment or games, and useful tools that set about trying to enhance the whole experience. As mentioned, the NYT Crossword app shows that even the “news” element can be set aside if the other parts succeed on their own merits.
Quick Checklist: Create a content model for a given piece of content, and try and hit every note. An example can be:
When you have all these boxes ticked, you'd have a superbly well-rounded presentation of content without having to raise your budgets by multiples to create.
We see that successful product teams are obsessed over adding value, and studying what the app can deliver with regularity. A share price tracker, football gossip, bulletins etc, are all easy meat for any news org – but so can be useful things like an audio player with its own unique content style, recipe sections with calorie counters, and ratings and reviews with codes and discounts. Technology can unblock those things, but they make the cut because they are popular and quickly establish their own value to readers.
Quick Checklist: Much of this echoes the content model checklist, but elements which can work really well to give added context and information to subjects like health and money include:
We did something here for editorial teams to get some pointers on rolling out new features.
One thing I particularly remember from the Mail+ team was their concept of “Amazing Minimum Product” – rather than Minimal Viable Product – and the optimism with which they approached the concept of launching something quickly.
MVP almost gives a dog a bad name before it gets going; this take on having an "AMP" reshaped the way an early product set out to capture the best of what the app would become, without delaying launches for extended periods and able to respond far quicker to user feedback and test out ideas.
I understand why drawing up a framework and vision of the “finished” product is important, but it can hem you in if the quest for the ultimate vision means you spend months and millions to reinvent the entire wheel and the whole car in a single go. When it launches, then the development starts, is often the lesson. It's more sustainable and lower risk to launch smartly and develop from there based on the data. This previous look at how the Mail team doubled subscribers in 100 days is a great lesson in this way of thinking.
Quick Checklist: Setting aside content topic innovations which emerge over time as you tweak the content and topics you cover, such adding audio or video, innovations and growth mechanisms can be staggered out over a period rather than trying to do them all for launch. Building on a standard article-driven site and app model - which are free or ad-supported, and which already connect to other channels such as social media - a manageable step-by-step running order that minimises the cost or development effort while ramping up your ability to earn from your product could be:
Many of our customers have print operations too – does this give them sort of an advantage? I’d say not intrinsically, but it does give a mindset: every day is a new product, and it is always respondent to events. I’ve always thought despite the misconception of print news not being fast moving (in a digital world), newspapers actually tear up and rebuild the whole product every edition: which website does that? Where that mindset exists, it’s easy to adapt a product feature in increments. The clever bit about the technology is allowing that to be achievable.
Quick Checklist: It should go without saying that you will be reviewing your content regularly, but keep an eye on the content mix – the balance of topics, formats, and channels, and what is working and what’s not. This a data balancing game. People are pretty good at leaving a trail of clues to what they like and don’t like, and ignoring that while sticking to a fixed vision can be a decision – but it has to be an informed choice rather than just blind habit.
If the product team is encouraged and able to make small changes easily, it enormously accelerates the likelihood of actually making changes at all. If apps are developed in an environment that places at its core a single rigid vision, the danger is that iterations and changes become so slow to move forward that they arrive only once or twice a year, or never. What changes would you bring if you employed the 1% better rule? And moreover, can you actually make 1% of change easily or is your whole set-up geared around the big bang changes which need the most planning?
Quick Checklist: Experimentation as a mentality is free - no budget required. But do your processes support it? The habits are common to the teams which have been smashing it for engagement:
Caution can win the day and has its place, but don’t let fear stem countless ideas that might just work!
After all, the common factor that media and publishers ultimately want is happy audiences.
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